Main
Hugo Fitipaldi
I am an enthusiastic and detail-oriented Data Scientist with a deep passion for mathematics. As a Ph.D. student in the Genetic and Molecular Epidemiology (GAME) unit at Lund University, I’ve focused on applying novel statistical tools with the aim to optimize health data integration. I have participated in multidisciplinary teams in which I contributed to data analysis, research design, building dashboards, and project management.
Education
PhD. Candidate, Genetic Epidemiology
Lund University
Malmö, SE
Current - 2018
- Thesis: Use of artificial intelligence to mine large datasets to derive public health evidence.
- Project 1: The Landscape of Human Genetic Research 2005-2020 – mining scientific publications with natural language processing (NLP);
- Project 2: COVID Symptom Study– Optimizing prediction of COVID-19 in diabetes and obesity with Neural Networks.
Master of Medical Science in Public Health and Epidemiology
Lund University
Lund, SE
2018 - 2016
- Thesis: A global overview of Precision Medicine in type 2 diabetes: a systematic review.
Exercise Sciences
Kent State University
Kent, US
2013 - 2012
- Exchange Student - Science without Borders Program
Bachelors degree in Physiotherapy
Universidade Federal de Pernambuco
Recife, BR
2013 - 2008
- Thesis: Effects of taping on the contractile activity and strengthening of skeletal muscles: a narrative review (free translation from Portuguese).
Experience
Research Analyst
GAME unit
Lund University
2018
- During this period I’ve worked on a scientometric review of the type 2 diabetes GWAS papers indexed in PubMed. I’ve created a data science tool (R package) that uses NLP’ Named Entity Recognition to extract relevant information from raw text data.
Data Scientist
GAME unit
Lund University
2018 - 2017
- Independently analyzed and constructed data-mining models for large data sets.
- Implementation of Machine Learning algorithms for prediction of Gene x Environment interactions;
- Big data management (genomic Biobank and meta-analysis);
Freelance Data Scientist
N/A
Remote
2018 - 2018
- During this short period of time, I’ve worked mainly on projects related to text mining, machine learning, predictive modeling, and academic research.
Complementary Education
AI for image and video data
Lund University
Lund, SE
2021 - 2021
- The course covers typical image analysis tasks that can be solved by deep learning models, e.g. classification, object detection, segmentation and image generation and practical applications of this. It also goes through the basic building blocks of deep learning models, typical architectures used for image analysis tasks and the steps required to train and evaluate models.
Artificial Neural Network and Deep Learning
Lund University
Lund, SE
2020 - 2020
- A brief introduction to artificial neural networks - workshop.
Introduction to Natural Language Processing and Text Mining
Lund University
Lund, SE
2020 - 2020
- This workshop aims to give an introduction to quantitative methods for analyzing text. We will illustrate a few tools, resources and workflows, including word embeddings, text clustering and binary text classification.
Introduction to Deep Learning
Lund University
Lund, SE
2020 - 2020
- The aim of this course is to introduce students to common deep learning architectures such as multi-layer perceptrons, convolutional neural networks, and recurrent models such as the LSTM.
Deep Learning
University of Copenhagen
Copenhagen, DN
2019 - 2019
- A thorough introduction to the foundations of machine learning, especially neural networks including their training; Introduction to convolutional neural networks and recurrent neural networks; Training and applying convolutional and recurrent neural networks for image analysis; Making use of data augmentation and other preprocessing steps to further improve the generalization performance.
Honors and Awards
Virtual ODSC East 2020 Scholarship
Open Data Science Conference
Remote
2020
- Each year, candidates who have distinguished themselves through outstanding academic achievement and personal excellence are chosen to attend the Open Data Science Conference.
Udacity Technology Scholarship powered by Bertelsmann (Deep Learning Nanodegree)
Udacity & Bertelsmann
Remote
2020
- Out of thousands of students in the Technology Scholarship Challenge Course, the progress in the course and dedication in the community stood out and the student was awarded a full Deep Learning Nanodegree.
PyCon US 2020 Financial Aid
Python Software Foundation
Pittsburgh, US
2020
- Financial aid recipients receive support for some or all of their expenses including transportation, hotel, and childcare. Because PyCon is the largest Python conference in the world, it’s a meeting place for Python developers from around the world. Therefore, the financial aid award process is designed to enhance PyCon, including speakers, tutorial presenters, and notable open source contributors.
Bertelsmann Scholarship
Udacity & Bertelsmann
Remote
2019
- Bertelsmann’s media, services and educational offerings make it a leader in many areas of the digital world. Accordingly, the company wants to empower as many people as possible to be successful in the digital world. The initial 2019–2020 phase of the program is a two-stage scholarship, open to any student, 18 years of age or older, interested in Cloud Computing, Data Science or Artificial Intelligence. Recipients will spend 3.5 months learning key components for Cloud Computing, Data Analysis, or Artificial Intelligence. Top students from this initial phase will earn a full Nanodegree program scholarship.
ODSC Europe 2019 Scholarship
Open Data Science Conference
London, UK
2019
- Each year, candidates who have distinguished themselves through outstanding academic achievement and personal excellence are chosen to attend the Open Data Science Conference.
Medicinska fakulteten resebidrag för forskarstuderande
Lund University
Lund, SE
2019
- This grant is to cover travel costs to other institutions in Sweden or abroad which are related to the PhD education. All PhD students that are enrolled in the postgraduate education programme with the Faculty of Medicine in Lund/Malmö are eligible for this grant.
Summer Research Scholarship
Lund University
Lund, SE
2018
- The purpose of the summer scholarships is to make students interested in research and take the shape of two-month-long research projects.
Swedish Institute Study Scholarship
Svenska Institutet
Stockholm, SE
2018 - 2016
- The Swedish Institute (SI), a government agency, offers scholarships each year for international students and researchers coming to Sweden. The programme offers a unique opportunity for future leaders to develop professionally and academically, to experience Swedish society and culture and to build a long-lasting relationship with Sweden and each other.
Scholarship - Science without Borders (Ciência sem Fronteiras)
Conselho Nacional de Desenvolvimento Científico e Tecnológico - “National Counsel of Technological and Scientific Development”
Kent, US
2013 - 2012
- Science without Borders is a large-scale nationwide scholarship program primarily funded by the Brazilian federal government. The program seeks to strengthen and expand the initiatives of science and technology, innovation and competitiveness through international mobility of undergraduate and graduate students and researchers.
Scholarship - Programa de Educação pelo Trabalho para a Saúde (PET-Saúde)
Ministry of Health, Brazil
Recife, BR
2012 - 2010
- As one of the intersectoral actions directed towards strengthening the primary care and health surveillance, in accordance with the principles and requirements of the Sistema Único de Saúde - SUS, the program presupposes education through work and provides scholarships for tutors, preceptors, and healthcare undergraduate students. The program is part of the strategies of the Programa Nacional de Reorientação da Formação Profissional em Saúde (PRÓ-SAÚDE), implemented in the country since 2005.
Selected Publications
Replication and cross-validation of T2D subtypes based on clinical variables: an IMI-RHAPSODY study
Diabetologia
N/A
2021
Large differences in community COVID-19 testing across geographic areas in a Swedish region with 385,000 inhabitants
N/A
N/A
2021
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
PLOS Medicine
N/A
2020
Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration
Journal of Hepatology
N/A
2019